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This GitHub repository includes the code for Project 1 on Computational Physics and Machine Learning.

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Computational Physics and Machine Learning: Project 1

This repository contains scripts to perform regression analysis and apply resampling methods. This repository was setup for project 1 of the lecture Computational Physics and Machine Learning.

More information:

How to setup

  1. Create conda environment
conda create --name compsci_project_1 --file requirements.txt
  1. Run one of the following lines depending on your use case.
# if you only want to run the code
python setup.py install
# if you want to change some scripts later
python setup.py develop

Contributors (alphabetic order)

Acknowledgement

All contributors are part of the CompSci doctoral program which is managed by the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). The program is partly funded by the EU Horizon 2020 under the Marie Skłodowska-Curie Action (MSCA) - Co-funding of Regional, National and International Programmes (COFUND).

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This GitHub repository includes the code for Project 1 on Computational Physics and Machine Learning.

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